Mobile Data Visualization (paper)
暫譯: 行動數據視覺化 (論文)

行動數據視覺化旨在促進在行動裝置上訪問和理解數據。可穿戴追蹤器、手機和平板電腦每天被數百萬人用來查看天氣地圖、金融圖表或個人健康指標。要為行動裝置創建有效的視覺化，需要什麼？本書介紹了行動數據視覺化的關鍵概念，並從研究和實踐的角度討論了機會和挑戰。

《行動數據視覺化》是第一本提供如何有效地在行動裝置上視覺化、分析和傳達數據的概述的書籍。該書借鑒了來自視覺化、人機互動和普遍計算等領域的國際學者和實踐者的專業知識、研究和經驗，探討了行動視覺化的挑戰，並解釋了它與傳統數據視覺化的不同之處。它突顯了通過引人入勝、互動性強和引人注目的行動內容來接觸新受眾的機會。

在九個章節中，本書提供了關於行動數據視覺化的有趣視角，包括：如何描述和分類行動視覺化；如何在移動中與它們互動以及在注意力有限的情況下如何使用；如何將它們適應於各種行動環境；設計和評估它們的具體方法；對隱私、倫理和其他挑戰的反思，以及對普遍視覺化未來的展望。這本易於理解的書籍對於視覺化設計師、實踐者、研究人員和學生來說都是一個寶貴而豐富的資源。

Bongshin Lee is a Sr. Principal Researcher in the EPIC (Extended Perception Interaction Cognition) research group, part of Human-Computer Interaction Group (HCI@MSR), at Microsoft Research. She received her PhD in Computer Science from the University of Maryland, College Park in 2006. Bongshin's research areas span data visualization, human-computer interaction, and human-data interaction, focusing on the design, development, and evaluation of novel data visualization and interaction techniques. The overarching goal of her research is to empower people to achieve their goals by leveraging data, data visualization, and technological advancements. Bongshin explores innovative ways to help people with different abilities to interact with data, by supporting easy and effective data collection, data exploration & analysis, and data-driven communication. Her most recent research endeavors include personal data visualization, data visualization on mobile devices, inclusive data visualization and multimodal interaction for data visualization. She is a member of the IEEE Visualization Academy and the IEEE Visualization Executive Committee.

Raimund Dachselt is a Full Professor of Computer Science at the Technische Universität Dresden, Germany. Since 2012, he leads the Interactive Media Lab Dresden at the Faculty of Computer Science. He received his PhD in 2004 from TU Dresden and was Professor for User Interface Engineering at the University of Magdeburg from 2007 to 2012. His research interests are at the intersection of natural, multimodal human computer interaction (HCI) and data visualization. He worked extensively in the area of interactive surfaces from smartwatches over tabletops to wall-sized displays and expanded the scope to Mixed Reality interfaces for immersive data analysis. He contributed several novel interface approaches for information visualization. He has co-authored more than 220 peer-reviewed publications and two major German HCI textbooks and received several Best Paper Awards at leading conferences. He has co-organized 17 international workshops at ACM and IEEE conferences, is the head of the ACM ISS steering committee and repeatedly served in numerous chairing and organizational roles as well as a PC member for international conferences.

Petra Isenberg is a research scientist at Inria, Saclay, France in the Aviz team and part of the Computer Science Laboratory of University Paris-Saclay (LISN). Prior to joining Inria, she received her PhD from the University of Calgary in 2010 on collaborative information visualization. Petra also holds a Diplom-engineer degree in Computational Visualistics from the University of Magdeburg. Her main research areas are visualization and visual analytics with a focus on non-desktop devices, interaction, and evaluation. She is particularly interested in exploring how people can most effectively work together when analyzing large and complex data sets on novel display technology such as small touch-screens, mobile devices, and wall displays, or tabletops. Petra is associate editor-in-chief at IEEE CG&A, associate editor of the IEEE Transactions on Visualization and Computer Graphics, has served on many organizing committee roles in various conferences, and has been the co-chair of the biennial Beliv workshop from 2012-2018.

Eun Kyoung Choe is an Associate Professor in the College of Information Studies at the University of Maryland, College Park. She received her PhD in Information Science from University of Washington, MS in Information Management and Systems from University of California, Berkeley, and BS in Industrial Design from KAIST. Her work sits at the intersection of HCI, Ubiquitous Computing, and Personal Informatics. With an overarching goal of empowering individuals, she examines some of the major challenges people face in leveraging personal data, such as data collection, data exploration, and data sharing. Drawing insights from formative studies, she designs novel systems to support personalized data collection and multimodal data exploration for people to interact with data. Her work has been funded by the National Science Foundation, National Institute of Health, and Microsoft Research. She has been serving on the editorial boards of PACM IMWUT and Foundations and Trends in Human-Computer Interaction, and as a subcommittee chair for CHI Health (2020-2021).

**Bongshin Lee** 是微軟研究院人機互動小組 (HCI@MSR) 的 EPIC (Extended Perception Interaction Cognition) 研究小組的高級首席研究員。她於 2006 年在馬里蘭大學帕克分校獲得計算機科學博士學位。Bongshin 的研究領域涵蓋數據可視化、人機互動和人數據互動，專注於新穎數據可視化和互動技術的設計、開發和評估。她研究的總體目標是通過利用數據、數據可視化和技術進步，幫助人們實現他們的目標。Bongshin 探索創新的方法，幫助不同能力的人與數據互動，支持簡單有效的數據收集、數據探索與分析以及數據驅動的溝通。她最近的研究工作包括個人數據可視化、移動設備上的數據可視化、包容性數據可視化以及數據可視化的多模態互動。她是 IEEE 可視化學院和 IEEE 可視化執行委員會的成員。

**Raimund Dachselt** 是德國德累斯頓工業大學的計算機科學全職教授。自 2012 年以來，他在計算機科學系領導德累斯頓互動媒體實驗室。他於 2004 年在德累斯頓工業大學獲得博士學位，並於 2007 年至 2012 年擔任馬格德堡大學的用戶界面工程教授。他的研究興趣位於自然的多模態人機互動 (HCI) 和數據可視化的交集上。他在互動表面領域進行了廣泛的研究，從智能手錶到桌面再到牆面顯示器，並擴展到混合現實界面以進行沉浸式數據分析。他為信息可視化貢獻了幾種新穎的界面方法。他共同撰寫了超過 220 篇經過同行評審的出版物和兩本主要的德國 HCI 教科書，並在多個領先的會議上獲得了最佳論文獎。他共同組織了 17 次 ACM 和 IEEE 會議的國際研討會，是 ACM ISS 指導委員會的負責人，並多次擔任國際會議的主席和組織角色以及程序委員會成員。

**Petra Isenberg** 是法國 Inria Saclay 的研究科學家，隸屬於 Aviz 團隊，並且是巴黎-薩克雷大學計算機科學實驗室 (LISN) 的一部分。在加入 Inria 之前，她於 2010 年在卡爾加里大學獲得關於協作信息可視化的博士學位。Petra 還擁有馬格德堡大學計算視覺學的 Diplom-engineer 學位。她的主要研究領域是可視化和視覺分析，重點是非桌面設備、互動和評估。她特別感興趣於探索人們在分析大型和複雜數據集時，如何在新型顯示技術（如小型觸控屏、移動設備、牆面顯示器或桌面）上最有效地協作。Petra 是 IEEE CG&A 的副主編，IEEE Transactions on Visualization and Computer Graphics 的副主編，曾在多個會議中擔任組織委員會角色，並於 2012 至 2018 年擔任雙年 Beliv 研討會的共同主席。

**Eun Kyoung Choe** 是馬里蘭大學資訊研究學院的副教授。她在華盛頓大學獲得信息科學博士學位，在加州大學伯克利分校獲得信息管理與系統碩士學位，以及在 KAIST 獲得工業設計學士學位。她的工作位於 HCI、普遍計算和個人信息學的交集上。她的總體目標是賦能個人，研究人們在利用個人數據時面臨的一些主要挑戰，例如數據收集、數據探索和數據共享。通過從形成性研究中獲取見解，她設計新穎的系統以支持個性化數據收集和多模態數據探索，讓人們能夠與數據互動。她的工作得到了國家科學基金會、國家衛生研究院和微軟研究院的資助。她曾擔任 PACM IMWUT 和 Foundations and Trends in Human-Computer Interaction 的編輯委員會成員，並在 2020 至 2021 年擔任 CHI Health 的子委員會主席。